Abstract
This paper presents the Excitement Open Platform (EOP), a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large number of knowledge resources, and facilities for experimenting and testing innovative approaches. The EOP is distributed as an open source software.
| Original language | English |
|---|---|
| Title of host publication | ACL 2014 - 52nd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop |
| Editors | Kalina Bontcheva, Ekaterina Kochmar, Jingbo Zhu, Annie Louis, Svitlana Volkova, Jordan Boyd-Graber, Bill Byrne |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 43-48 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781937284794, 9781941643006 |
| State | Published - 2014 |
| Event | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States Duration: 22 Jun 2014 → 27 Jun 2014 |
Publication series
| Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
|---|---|
| Volume | 2014-June |
| ISSN (Print) | 0736-587X |
Conference
| Conference | 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 |
|---|---|
| Country/Territory | United States |
| City | Baltimore, MD |
| Period | 22/06/14 → 27/06/14 |
Bibliographical note
Publisher Copyright:© 2014 Association for Computational Linguistics.
Funding
This work was partially supported by the EC funded project EXCITEMENT (FP7ICT-287923). This work was partially supported by the EC-funded project EXCITEMENT (FP7ICT-287923).
| Funders | Funder number |
|---|---|
| European Commission | FP7ICT-287923 |
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